Sara Forrester

Interpretable transcriptome-to-phenotype modeling of cell-painting nuclear morphology features from RNA-seq under low-dose radiation exposure

The paper models how low-dose radiation affects nuclear morphology by linking RNA-seq data to cell-painting imaging features over time using an interpretable inverse modeling framework.

An Integrated and Configurable End-to-End Pipeline for Longitudinal Cell Painting Analysis

The paper introduces SCALE, a pipeline for longitudinal cell painting analysis, demonstrating its ability to handle imaging variability and enable consistent comparisons across time points.

Genomic reconstruction of Bacillus anthracis from complex environmental samples enables high throughput identification and lineage assignment in Pakistan

This study uses genomic analysis of environmental samples to identify and assign lineages of Bacillus anthracis in Pakistan, providing new reference genomes and identifying a minor sublineage.